class_docstr: MovingMnist Dataset.
code: def get_test_iterator(self, tmp_dir):
      path = generator_utils.maybe_download(
          tmp_dir, os.path.basename(DATA_URL), DATA_URL
      )
      with tf.io.gfile.GFile(path, "rb") as fp:
          mnist_test = np.load(fp)
      mnist_test = np.transpose(mnist_test, (1, 0, 2, 3))
      mnist_test = np.expand_dims(mnist_test, axis=-1)
      mnist_test = tf.data.Dataset.from_tensor_slices(mnist_test)
      return mnist_test.make_initializable_iterator()
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import numpy
  from tensor2tensor.data_generators import generator_utils
  from tensor2tensor.data_generators import problem
  from tensor2tensor.data_generators import video_utils
  from tensor2tensor.layers import modalities
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
  import tensorflow_datasets
  from tensorflow_datasets.video import moving_sequence
label_desc: Use image node_id 11 for calling the VideoMovingMnist obj's underlying member method code with example usage: obj.get_test_iterator(tmp_dir) and returns: mnist_test